diff --git "a/Data Analitics/Week 4/.ipynb_checkpoints/TU257-Lab3-4-Correlation-checkpoint.ipynb" "b/Data Analitics/Week 4/.ipynb_checkpoints/TU257-Lab3-4-Correlation-checkpoint.ipynb"
new file mode 100644--- /dev/null
+++ "b/Data Analitics/Week 4/.ipynb_checkpoints/TU257-Lab3-4-Correlation-checkpoint.ipynb"
@@ -0,0 +1,702 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pandas as pd\n",
+    "\n",
+    "#read in the data set\n",
+    "#NB. you will need to edit this command to change it to the directory you are using\n",
+    "data = pd.read_csv('/Users/brendan.tierney/Dropbox/4-Datasets/boston-housing-dataset.csv')\n",
+    "\n",
+    "#Data set is from \n",
+    "# https://www.kaggle.com/datasets/fedesoriano/the-boston-houseprice-data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(506, 14)"
+      ]
+     },
+     "execution_count": 14,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "data.shape"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
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+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
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+       "\n",
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+       "\n",
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+       "        text-align: right;\n",
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+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>CRIM</th>\n",
+       "      <th>ZN</th>\n",
+       "      <th>INDUS</th>\n",
+       "      <th>CHAS</th>\n",
+       "      <th>NOX</th>\n",
+       "      <th>RM</th>\n",
+       "      <th>AGE</th>\n",
+       "      <th>DIS</th>\n",
+       "      <th>RAD</th>\n",
+       "      <th>TAX</th>\n",
+       "      <th>PTRATIO</th>\n",
+       "      <th>B</th>\n",
+       "      <th>LSTAT</th>\n",
+       "      <th>MEDV</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>0.00632</td>\n",
+       "      <td>18.0</td>\n",
+       "      <td>2.31</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.538</td>\n",
+       "      <td>6.575</td>\n",
+       "      <td>65.2</td>\n",
+       "      <td>4.0900</td>\n",
+       "      <td>1</td>\n",
+       "      <td>296.0</td>\n",
+       "      <td>15.3</td>\n",
+       "      <td>396.90</td>\n",
+       "      <td>4.98</td>\n",
+       "      <td>24.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>0.02731</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>7.07</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.469</td>\n",
+       "      <td>6.421</td>\n",
+       "      <td>78.9</td>\n",
+       "      <td>4.9671</td>\n",
+       "      <td>2</td>\n",
+       "      <td>242.0</td>\n",
+       "      <td>17.8</td>\n",
+       "      <td>396.90</td>\n",
+       "      <td>9.14</td>\n",
+       "      <td>21.6</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>0.02729</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>7.07</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.469</td>\n",
+       "      <td>7.185</td>\n",
+       "      <td>61.1</td>\n",
+       "      <td>4.9671</td>\n",
+       "      <td>2</td>\n",
+       "      <td>242.0</td>\n",
+       "      <td>17.8</td>\n",
+       "      <td>392.83</td>\n",
+       "      <td>4.03</td>\n",
+       "      <td>34.7</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>0.03237</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>2.18</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.458</td>\n",
+       "      <td>6.998</td>\n",
+       "      <td>45.8</td>\n",
+       "      <td>6.0622</td>\n",
+       "      <td>3</td>\n",
+       "      <td>222.0</td>\n",
+       "      <td>18.7</td>\n",
+       "      <td>394.63</td>\n",
+       "      <td>2.94</td>\n",
+       "      <td>33.4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>0.06905</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>2.18</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.458</td>\n",
+       "      <td>7.147</td>\n",
+       "      <td>54.2</td>\n",
+       "      <td>6.0622</td>\n",
+       "      <td>3</td>\n",
+       "      <td>222.0</td>\n",
+       "      <td>18.7</td>\n",
+       "      <td>396.90</td>\n",
+       "      <td>5.33</td>\n",
+       "      <td>36.2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>0.02985</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>2.18</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.458</td>\n",
+       "      <td>6.430</td>\n",
+       "      <td>58.7</td>\n",
+       "      <td>6.0622</td>\n",
+       "      <td>3</td>\n",
+       "      <td>222.0</td>\n",
+       "      <td>18.7</td>\n",
+       "      <td>394.12</td>\n",
+       "      <td>5.21</td>\n",
+       "      <td>28.7</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>0.08829</td>\n",
+       "      <td>12.5</td>\n",
+       "      <td>7.87</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.524</td>\n",
+       "      <td>6.012</td>\n",
+       "      <td>66.6</td>\n",
+       "      <td>5.5605</td>\n",
+       "      <td>5</td>\n",
+       "      <td>311.0</td>\n",
+       "      <td>15.2</td>\n",
+       "      <td>395.60</td>\n",
+       "      <td>12.43</td>\n",
+       "      <td>22.9</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>0.14455</td>\n",
+       "      <td>12.5</td>\n",
+       "      <td>7.87</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.524</td>\n",
+       "      <td>6.172</td>\n",
+       "      <td>96.1</td>\n",
+       "      <td>5.9505</td>\n",
+       "      <td>5</td>\n",
+       "      <td>311.0</td>\n",
+       "      <td>15.2</td>\n",
+       "      <td>396.90</td>\n",
+       "      <td>19.15</td>\n",
+       "      <td>27.1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>0.21124</td>\n",
+       "      <td>12.5</td>\n",
+       "      <td>7.87</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.524</td>\n",
+       "      <td>5.631</td>\n",
+       "      <td>100.0</td>\n",
+       "      <td>6.0821</td>\n",
+       "      <td>5</td>\n",
+       "      <td>311.0</td>\n",
+       "      <td>15.2</td>\n",
+       "      <td>386.63</td>\n",
+       "      <td>29.93</td>\n",
+       "      <td>16.5</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>0.17004</td>\n",
+       "      <td>12.5</td>\n",
+       "      <td>7.87</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.524</td>\n",
+       "      <td>6.004</td>\n",
+       "      <td>85.9</td>\n",
+       "      <td>6.5921</td>\n",
+       "      <td>5</td>\n",
+       "      <td>311.0</td>\n",
+       "      <td>15.2</td>\n",
+       "      <td>386.71</td>\n",
+       "      <td>17.10</td>\n",
+       "      <td>18.9</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "      CRIM    ZN  INDUS  CHAS    NOX     RM    AGE     DIS  RAD    TAX  \\\n",
+       "0  0.00632  18.0   2.31     0  0.538  6.575   65.2  4.0900    1  296.0   \n",
+       "1  0.02731   0.0   7.07     0  0.469  6.421   78.9  4.9671    2  242.0   \n",
+       "2  0.02729   0.0   7.07     0  0.469  7.185   61.1  4.9671    2  242.0   \n",
+       "3  0.03237   0.0   2.18     0  0.458  6.998   45.8  6.0622    3  222.0   \n",
+       "4  0.06905   0.0   2.18     0  0.458  7.147   54.2  6.0622    3  222.0   \n",
+       "5  0.02985   0.0   2.18     0  0.458  6.430   58.7  6.0622    3  222.0   \n",
+       "6  0.08829  12.5   7.87     0  0.524  6.012   66.6  5.5605    5  311.0   \n",
+       "7  0.14455  12.5   7.87     0  0.524  6.172   96.1  5.9505    5  311.0   \n",
+       "8  0.21124  12.5   7.87     0  0.524  5.631  100.0  6.0821    5  311.0   \n",
+       "9  0.17004  12.5   7.87     0  0.524  6.004   85.9  6.5921    5  311.0   \n",
+       "\n",
+       "   PTRATIO       B  LSTAT  MEDV  \n",
+       "0     15.3  396.90   4.98  24.0  \n",
+       "1     17.8  396.90   9.14  21.6  \n",
+       "2     17.8  392.83   4.03  34.7  \n",
+       "3     18.7  394.63   2.94  33.4  \n",
+       "4     18.7  396.90   5.33  36.2  \n",
+       "5     18.7  394.12   5.21  28.7  \n",
+       "6     15.2  395.60  12.43  22.9  \n",
+       "7     15.2  396.90  19.15  27.1  \n",
+       "8     15.2  386.63  29.93  16.5  \n",
+       "9     15.2  386.71  17.10  18.9  "
+      ]
+     },
+     "execution_count": 15,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "data.head(10)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
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+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>CRIM</th>\n",
+       "      <th>ZN</th>\n",
+       "      <th>INDUS</th>\n",
+       "      <th>CHAS</th>\n",
+       "      <th>NOX</th>\n",
+       "      <th>RM</th>\n",
+       "      <th>AGE</th>\n",
+       "      <th>DIS</th>\n",
+       "      <th>RAD</th>\n",
+       "      <th>TAX</th>\n",
+       "      <th>PTRATIO</th>\n",
+       "      <th>B</th>\n",
+       "      <th>LSTAT</th>\n",
+       "      <th>MEDV</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>CRIM</th>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>-0.200469</td>\n",
+       "      <td>0.406583</td>\n",
+       "      <td>-0.055892</td>\n",
+       "      <td>0.420972</td>\n",
+       "      <td>-0.219247</td>\n",
+       "      <td>0.352734</td>\n",
+       "      <td>-0.379670</td>\n",
+       "      <td>0.625505</td>\n",
+       "      <td>0.582764</td>\n",
+       "      <td>0.289946</td>\n",
+       "      <td>-0.385064</td>\n",
+       "      <td>0.455621</td>\n",
+       "      <td>-0.388305</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ZN</th>\n",
+       "      <td>-0.200469</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>-0.533828</td>\n",
+       "      <td>-0.042697</td>\n",
+       "      <td>-0.516604</td>\n",
+       "      <td>0.311991</td>\n",
+       "      <td>-0.569537</td>\n",
+       "      <td>0.664408</td>\n",
+       "      <td>-0.311948</td>\n",
+       "      <td>-0.314563</td>\n",
+       "      <td>-0.391679</td>\n",
+       "      <td>0.175520</td>\n",
+       "      <td>-0.412995</td>\n",
+       "      <td>0.360445</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>INDUS</th>\n",
+       "      <td>0.406583</td>\n",
+       "      <td>-0.533828</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.062938</td>\n",
+       "      <td>0.763651</td>\n",
+       "      <td>-0.391676</td>\n",
+       "      <td>0.644779</td>\n",
+       "      <td>-0.708027</td>\n",
+       "      <td>0.595129</td>\n",
+       "      <td>0.720760</td>\n",
+       "      <td>0.383248</td>\n",
+       "      <td>-0.356977</td>\n",
+       "      <td>0.603800</td>\n",
+       "      <td>-0.483725</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>CHAS</th>\n",
+       "      <td>-0.055892</td>\n",
+       "      <td>-0.042697</td>\n",
+       "      <td>0.062938</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.091203</td>\n",
+       "      <td>0.091251</td>\n",
+       "      <td>0.086518</td>\n",
+       "      <td>-0.099176</td>\n",
+       "      <td>-0.007368</td>\n",
+       "      <td>-0.035587</td>\n",
+       "      <td>-0.121515</td>\n",
+       "      <td>0.048788</td>\n",
+       "      <td>-0.053929</td>\n",
+       "      <td>0.175260</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>NOX</th>\n",
+       "      <td>0.420972</td>\n",
+       "      <td>-0.516604</td>\n",
+       "      <td>0.763651</td>\n",
+       "      <td>0.091203</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>-0.302188</td>\n",
+       "      <td>0.731470</td>\n",
+       "      <td>-0.769230</td>\n",
+       "      <td>0.611441</td>\n",
+       "      <td>0.668023</td>\n",
+       "      <td>0.188933</td>\n",
+       "      <td>-0.380051</td>\n",
+       "      <td>0.590879</td>\n",
+       "      <td>-0.427321</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>RM</th>\n",
+       "      <td>-0.219247</td>\n",
+       "      <td>0.311991</td>\n",
+       "      <td>-0.391676</td>\n",
+       "      <td>0.091251</td>\n",
+       "      <td>-0.302188</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>-0.240265</td>\n",
+       "      <td>0.205246</td>\n",
+       "      <td>-0.209847</td>\n",
+       "      <td>-0.292048</td>\n",
+       "      <td>-0.355501</td>\n",
+       "      <td>0.128069</td>\n",
+       "      <td>-0.613808</td>\n",
+       "      <td>0.695360</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>AGE</th>\n",
+       "      <td>0.352734</td>\n",
+       "      <td>-0.569537</td>\n",
+       "      <td>0.644779</td>\n",
+       "      <td>0.086518</td>\n",
+       "      <td>0.731470</td>\n",
+       "      <td>-0.240265</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>-0.747881</td>\n",
+       "      <td>0.456022</td>\n",
+       "      <td>0.506456</td>\n",
+       "      <td>0.261515</td>\n",
+       "      <td>-0.273534</td>\n",
+       "      <td>0.602339</td>\n",
+       "      <td>-0.376955</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>DIS</th>\n",
+       "      <td>-0.379670</td>\n",
+       "      <td>0.664408</td>\n",
+       "      <td>-0.708027</td>\n",
+       "      <td>-0.099176</td>\n",
+       "      <td>-0.769230</td>\n",
+       "      <td>0.205246</td>\n",
+       "      <td>-0.747881</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>-0.494588</td>\n",
+       "      <td>-0.534432</td>\n",
+       "      <td>-0.232471</td>\n",
+       "      <td>0.291512</td>\n",
+       "      <td>-0.496996</td>\n",
+       "      <td>0.249929</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>RAD</th>\n",
+       "      <td>0.625505</td>\n",
+       "      <td>-0.311948</td>\n",
+       "      <td>0.595129</td>\n",
+       "      <td>-0.007368</td>\n",
+       "      <td>0.611441</td>\n",
+       "      <td>-0.209847</td>\n",
+       "      <td>0.456022</td>\n",
+       "      <td>-0.494588</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.910228</td>\n",
+       "      <td>0.464741</td>\n",
+       "      <td>-0.444413</td>\n",
+       "      <td>0.488676</td>\n",
+       "      <td>-0.381626</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>TAX</th>\n",
+       "      <td>0.582764</td>\n",
+       "      <td>-0.314563</td>\n",
+       "      <td>0.720760</td>\n",
+       "      <td>-0.035587</td>\n",
+       "      <td>0.668023</td>\n",
+       "      <td>-0.292048</td>\n",
+       "      <td>0.506456</td>\n",
+       "      <td>-0.534432</td>\n",
+       "      <td>0.910228</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.460853</td>\n",
+       "      <td>-0.441808</td>\n",
+       "      <td>0.543993</td>\n",
+       "      <td>-0.468536</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>PTRATIO</th>\n",
+       "      <td>0.289946</td>\n",
+       "      <td>-0.391679</td>\n",
+       "      <td>0.383248</td>\n",
+       "      <td>-0.121515</td>\n",
+       "      <td>0.188933</td>\n",
+       "      <td>-0.355501</td>\n",
+       "      <td>0.261515</td>\n",
+       "      <td>-0.232471</td>\n",
+       "      <td>0.464741</td>\n",
+       "      <td>0.460853</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>-0.177383</td>\n",
+       "      <td>0.374044</td>\n",
+       "      <td>-0.507787</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>B</th>\n",
+       "      <td>-0.385064</td>\n",
+       "      <td>0.175520</td>\n",
+       "      <td>-0.356977</td>\n",
+       "      <td>0.048788</td>\n",
+       "      <td>-0.380051</td>\n",
+       "      <td>0.128069</td>\n",
+       "      <td>-0.273534</td>\n",
+       "      <td>0.291512</td>\n",
+       "      <td>-0.444413</td>\n",
+       "      <td>-0.441808</td>\n",
+       "      <td>-0.177383</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>-0.366087</td>\n",
+       "      <td>0.333461</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>LSTAT</th>\n",
+       "      <td>0.455621</td>\n",
+       "      <td>-0.412995</td>\n",
+       "      <td>0.603800</td>\n",
+       "      <td>-0.053929</td>\n",
+       "      <td>0.590879</td>\n",
+       "      <td>-0.613808</td>\n",
+       "      <td>0.602339</td>\n",
+       "      <td>-0.496996</td>\n",
+       "      <td>0.488676</td>\n",
+       "      <td>0.543993</td>\n",
+       "      <td>0.374044</td>\n",
+       "      <td>-0.366087</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>-0.737663</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>MEDV</th>\n",
+       "      <td>-0.388305</td>\n",
+       "      <td>0.360445</td>\n",
+       "      <td>-0.483725</td>\n",
+       "      <td>0.175260</td>\n",
+       "      <td>-0.427321</td>\n",
+       "      <td>0.695360</td>\n",
+       "      <td>-0.376955</td>\n",
+       "      <td>0.249929</td>\n",
+       "      <td>-0.381626</td>\n",
+       "      <td>-0.468536</td>\n",
+       "      <td>-0.507787</td>\n",
+       "      <td>0.333461</td>\n",
+       "      <td>-0.737663</td>\n",
+       "      <td>1.000000</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "             CRIM        ZN     INDUS      CHAS       NOX        RM       AGE  \\\n",
+       "CRIM     1.000000 -0.200469  0.406583 -0.055892  0.420972 -0.219247  0.352734   \n",
+       "ZN      -0.200469  1.000000 -0.533828 -0.042697 -0.516604  0.311991 -0.569537   \n",
+       "INDUS    0.406583 -0.533828  1.000000  0.062938  0.763651 -0.391676  0.644779   \n",
+       "CHAS    -0.055892 -0.042697  0.062938  1.000000  0.091203  0.091251  0.086518   \n",
+       "NOX      0.420972 -0.516604  0.763651  0.091203  1.000000 -0.302188  0.731470   \n",
+       "RM      -0.219247  0.311991 -0.391676  0.091251 -0.302188  1.000000 -0.240265   \n",
+       "AGE      0.352734 -0.569537  0.644779  0.086518  0.731470 -0.240265  1.000000   \n",
+       "DIS     -0.379670  0.664408 -0.708027 -0.099176 -0.769230  0.205246 -0.747881   \n",
+       "RAD      0.625505 -0.311948  0.595129 -0.007368  0.611441 -0.209847  0.456022   \n",
+       "TAX      0.582764 -0.314563  0.720760 -0.035587  0.668023 -0.292048  0.506456   \n",
+       "PTRATIO  0.289946 -0.391679  0.383248 -0.121515  0.188933 -0.355501  0.261515   \n",
+       "B       -0.385064  0.175520 -0.356977  0.048788 -0.380051  0.128069 -0.273534   \n",
+       "LSTAT    0.455621 -0.412995  0.603800 -0.053929  0.590879 -0.613808  0.602339   \n",
+       "MEDV    -0.388305  0.360445 -0.483725  0.175260 -0.427321  0.695360 -0.376955   \n",
+       "\n",
+       "              DIS       RAD       TAX   PTRATIO         B     LSTAT      MEDV  \n",
+       "CRIM    -0.379670  0.625505  0.582764  0.289946 -0.385064  0.455621 -0.388305  \n",
+       "ZN       0.664408 -0.311948 -0.314563 -0.391679  0.175520 -0.412995  0.360445  \n",
+       "INDUS   -0.708027  0.595129  0.720760  0.383248 -0.356977  0.603800 -0.483725  \n",
+       "CHAS    -0.099176 -0.007368 -0.035587 -0.121515  0.048788 -0.053929  0.175260  \n",
+       "NOX     -0.769230  0.611441  0.668023  0.188933 -0.380051  0.590879 -0.427321  \n",
+       "RM       0.205246 -0.209847 -0.292048 -0.355501  0.128069 -0.613808  0.695360  \n",
+       "AGE     -0.747881  0.456022  0.506456  0.261515 -0.273534  0.602339 -0.376955  \n",
+       "DIS      1.000000 -0.494588 -0.534432 -0.232471  0.291512 -0.496996  0.249929  \n",
+       "RAD     -0.494588  1.000000  0.910228  0.464741 -0.444413  0.488676 -0.381626  \n",
+       "TAX     -0.534432  0.910228  1.000000  0.460853 -0.441808  0.543993 -0.468536  \n",
+       "PTRATIO -0.232471  0.464741  0.460853  1.000000 -0.177383  0.374044 -0.507787  \n",
+       "B        0.291512 -0.444413 -0.441808 -0.177383  1.000000 -0.366087  0.333461  \n",
+       "LSTAT   -0.496996  0.488676  0.543993  0.374044 -0.366087  1.000000 -0.737663  \n",
+       "MEDV     0.249929 -0.381626 -0.468536 -0.507787  0.333461 -0.737663  1.000000  "
+      ]
+     },
+     "execution_count": 20,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "corr_matrix=data.corr()\n",
+    "corr_matrix"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<AxesSubplot:>"
+      ]
+     },
+     "execution_count": 26,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1224x1008 with 2 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "import seaborn as sn\n",
+    "#import matplotlib.pyplot as plt\n",
+    "\n",
+    "fig = plt.subplots(figsize=(17,14))\n",
+    "sn.heatmap(corr_matrix, annot=True)\n",
+    "#plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "\"tax\" and \"rad\" columns are highly correlated with value of 0.91(positive correlation).\n",
+    "\n",
+    "Some of the features are negatively correlated and their correation value is negatively high. Such as \"lstat\" vs \n",
+    "    \"medv\", \"dis\" vs \"indus\", \"dis\" vs \"age\".\n",
+    "\n",
+    "From the above observations, we can conclude that there is hidden covariation between the tax rate and the index of accessibility to radial highways. \n",
+    "\n",
+    "We can derive a relationship that if the house accessibility to highways is high then the full-value property-tax rate will also be higher.\n",
+    "\n",
+    "This may sound like a genuine thing, because of the houses with high price generally nearer to market, good amenities, highways, etc."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.7.3"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}